Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A method for controlling transmission over an air interface in a wireless communication system, the method comprising: serving, by a base station, a plurality of user equipment devices (UEs) over the air interface, wherein each UE of the plurality has a respective rate of change of radio frequency (RF) conditions for communication between the base station and the UE; selecting by the base station at least one of the UEs of the plurality to serve with Multi-User Multiple-Input-Multiple-Output (MU-MIMO) over the air interface, the selecting being based at least on the rate of change of RF conditions respectively of each selected UE; and based on the selecting, configuring by the base station MU-MIMO service of each selected UE, while serving by the base station each other UE of the plurality of UEs without use of MU-MIMO.
The invention relates to wireless communication systems, specifically to methods for optimizing transmission over an air interface by selectively applying Multi-User Multiple-Input-Multiple-Output (MU-MIMO) based on the rate of change of radio frequency (RF) conditions for each user equipment (UE) device. In wireless networks, RF conditions can vary dynamically due to factors like mobility, interference, and environmental changes, impacting communication quality and efficiency. The invention addresses the challenge of efficiently allocating MU-MIMO resources by dynamically selecting UEs with stable RF conditions for MU-MIMO service while excluding UEs with rapidly changing conditions. A base station serves multiple UEs over the air interface, each experiencing different rates of RF condition changes. The base station evaluates these rates and selects UEs with relatively stable RF conditions for MU-MIMO service, which improves spectral efficiency by allowing simultaneous transmission to multiple UEs using the same time-frequency resources. UEs with highly variable RF conditions are served without MU-MIMO to avoid performance degradation. This selective approach optimizes network performance by balancing MU-MIMO benefits with the need for reliable communication. The method ensures that only UEs with suitable RF stability benefit from MU-MIMO, while others are served using alternative techniques, enhancing overall system efficiency and reliability.
2. The method of claim 1 , further comprising determining respectively for each UE of the plurality the rate of change of RF conditions of the UE.
This invention relates to wireless communication systems, specifically to managing radio frequency (RF) conditions for multiple user equipment (UE) devices in a network. The problem addressed is efficiently monitoring and adapting to varying RF conditions across multiple UEs to optimize network performance and resource allocation. The method involves tracking RF conditions for each UE in a group, including signal strength, interference levels, and other relevant metrics. For each UE, the rate of change of these RF conditions is determined, allowing the system to assess how quickly the conditions are improving or deteriorating. This dynamic assessment enables the network to prioritize UEs with rapidly changing conditions, such as those moving into or out of coverage areas, and adjust resource allocation accordingly. The method may also involve comparing the rate of change across UEs to identify which devices require immediate attention or different handling strategies. By continuously monitoring and analyzing the rate of change of RF conditions, the system can proactively manage network resources, reduce handover failures, and improve overall service quality. This approach is particularly useful in dense urban environments or high-mobility scenarios where RF conditions fluctuate frequently. The method ensures that UEs experiencing significant changes in RF conditions receive appropriate adjustments in scheduling, power control, or other network parameters to maintain stable connectivity.
3. The method of claim 2 , wherein determining the rate of change of RF conditions of the UE is based on one or more metrics selected from the group consisting of channel quality indicator, reference signal receive power, reference signal receive quality, block error rate, and retransmission rate.
This invention relates to wireless communication systems, specifically to methods for assessing radio frequency (RF) conditions of a user equipment (UE) device. The problem addressed is the need for accurate and dynamic evaluation of RF conditions to optimize network performance and resource allocation. The method involves determining the rate of change of RF conditions for a UE by analyzing one or more key metrics. These metrics include channel quality indicator (CQI), reference signal receive power (RSRP), reference signal receive quality (RSRQ), block error rate (BLER), and retransmission rate. By monitoring these metrics, the system can dynamically adjust to fluctuations in RF conditions, improving signal reliability and data throughput. The method may also involve comparing the rate of change of these metrics against predefined thresholds to trigger adjustments in transmission parameters, handover decisions, or other network optimizations. This approach ensures that the UE maintains stable connectivity and efficient resource utilization in varying RF environments. The invention is particularly useful in scenarios where RF conditions are highly dynamic, such as in mobile or high-interference environments.
4. The method of claim 1 , wherein selecting at least one of the UEs of the plurality to serve with MU-MIMO over the air interface with the selecting being based at least on the rate of change of RF conditions respectively of each selected UE comprises, for each UE of the plurality: making a determination of whether the rate of change of RF conditions of the UE is lower than a predefined threshold level; if the determination is that the rate of change of RF conditions of the UE is lower than the predefined threshold level, then, based at least on the determination, selecting the UE to serve with MU-MIMO over the air interface; and if the determination is that the rate of change of RF conditions of the UE is not lower than the predefined level threshold, then, based at least on the determination, not selecting the UE to serve with MU-MIMO over the air interface.
In wireless communication systems, multi-user multiple-input multiple-output (MU-MIMO) techniques improve spectral efficiency by simultaneously transmitting data to multiple user equipment (UE) devices. However, RF conditions for UEs can vary dynamically due to factors like mobility or environmental changes, which can degrade MU-MIMO performance if applied to UEs with rapidly changing RF conditions. This invention addresses the challenge of selecting UEs for MU-MIMO service based on the stability of their RF conditions. The method involves evaluating each UE in a group to determine whether its RF conditions are sufficiently stable for MU-MIMO operation. For each UE, the rate of change of its RF conditions is compared to a predefined threshold. If the rate of change is below the threshold, indicating stable RF conditions, the UE is selected for MU-MIMO service. If the rate of change exceeds the threshold, the UE is excluded from MU-MIMO to avoid performance degradation. This selection process ensures that only UEs with stable RF conditions benefit from MU-MIMO, improving overall system efficiency and reliability. The predefined threshold can be adjusted based on network requirements or environmental factors.
5. The method of claim 1 , wherein selecting at least one of the UEs of the plurality to serve with MU-MIMO over the air interface with the selecting being based at least on the rate of change of RF conditions respectively of each selected UE comprises: comparing the rate of change of RF conditions of a first one of the UEs of the plurality with the rate of change of RF conditions of a second one of the UEs of the plurality; based on the comparing, determining that the rate of change of RF conditions of the first UE is lower than the rate of change of RF conditions of the second UE; and based on the determining, selecting the first UE rather than the second UE to receive MU-MIMO service over the air interface.
This invention relates to wireless communication systems, specifically to methods for selecting user equipment (UE) devices to serve with multi-user multiple-input multiple-output (MU-MIMO) technology. The problem addressed is optimizing MU-MIMO performance by dynamically selecting UEs based on the stability of their radio frequency (RF) conditions. The method involves comparing the rate of change of RF conditions between multiple UEs. If a first UE exhibits a lower rate of change in RF conditions compared to a second UE, the first UE is prioritized for MU-MIMO service. This selection ensures that UEs with more stable RF conditions are served, improving MU-MIMO efficiency and reducing interference. The approach leverages real-time RF condition monitoring to dynamically adjust UE selection, enhancing overall network performance and reliability. The technique is particularly useful in environments where RF conditions fluctuate, such as mobile scenarios or areas with varying interference. By favoring UEs with stable RF conditions, the method minimizes the need for frequent beamforming adjustments, reducing computational overhead and improving data throughput.
6. The method of claim 1 , further comprising including each selected UE in a MU-MIMO group of UEs based on a further determination that the selected UE is orthogonal to each other UE of the MU-MIMO group.
This invention relates to wireless communication systems, specifically improving multi-user multiple-input multiple-output (MU-MIMO) transmission by dynamically selecting user equipment (UE) devices for grouping based on orthogonality. The problem addressed is inefficient MU-MIMO performance due to interference when UEs are not properly orthogonal, leading to degraded signal quality and reduced throughput. The method involves selecting UEs for MU-MIMO transmission by evaluating their channel state information (CSI) to determine orthogonality. A UE is selected if its channel characteristics are orthogonal to those of other UEs in the group, minimizing interference. The selection process may involve comparing precoding vectors or spatial signatures to ensure orthogonality. Once selected, each UE is included in a MU-MIMO group only if it remains orthogonal to all other UEs in the group. This ensures that the group maintains optimal spatial separation, reducing interference and improving overall transmission efficiency. The method may also involve periodically reassessing orthogonality to adapt to changing channel conditions. By dynamically forming orthogonal MU-MIMO groups, the invention enhances spectral efficiency and reliability in wireless communications.
7. The method of claim 1 , wherein configuring by the base station MU-MIMO service of each selected UE comprises causing by the base station air interface transmission between the base station and the selected UE to occupy same time-frequency air interface resources as air interface transmission between the base station and another UE of the plurality, and wherein serving by the base station each other UE of the plurality of UEs without use of MU-MIMO comprises causing by the base station air interface transmission between the base station and each other UE to occupy different time-frequency air interface resources than air interface transmission between the base station and any other UE of the plurality.
This invention relates to wireless communication systems, specifically methods for managing multi-user multiple-input multiple-output (MU-MIMO) service in a base station. The problem addressed is optimizing resource allocation to improve spectral efficiency while maintaining reliable communication for all connected user equipment (UE). The method involves a base station dynamically selecting a subset of UEs from a plurality of connected UEs to receive MU-MIMO service. For the selected UEs, the base station configures air interface transmissions to share the same time-frequency resources, allowing simultaneous data exchange between the base station and multiple UEs. This shared resource allocation increases spectral efficiency by enabling multiple UEs to utilize the same bandwidth concurrently. For the remaining UEs not selected for MU-MIMO, the base station ensures their transmissions occupy distinct time-frequency resources, preventing interference and maintaining reliable communication. This selective approach balances efficiency and reliability, optimizing network performance by dynamically adjusting resource allocation based on UE capabilities and channel conditions. The method enhances overall system throughput while ensuring stable connectivity for all UEs.
8. A method for controlling transmission over an air interface in a wireless communication system, the method comprising: serving, by a base station, a plurality of user equipment devices (UEs) over the air interface, wherein each UE of the plurality has a respective rate of change of radio frequency (RF) conditions; determining by the base station, respectively for each UE of the plurality, whether the rate of change of RF conditions of the UE is threshold low; and limiting by the base station application of Multi-User Multiple-Input-Multiple-Output (MU-MIMO) to UEs of the plurality whose rate of change of RF conditions the base station determined to be threshold low.
This invention relates to wireless communication systems and addresses the challenge of efficiently managing multi-user multiple-input-multiple-output (MU-MIMO) transmissions in dynamic RF environments. MU-MIMO improves spectral efficiency by simultaneously serving multiple user equipment (UE) devices using spatial multiplexing, but its performance degrades when RF conditions change rapidly, leading to interference and reduced throughput. The invention provides a method to optimize MU-MIMO usage by selectively applying it only to UEs with stable RF conditions. A base station serves multiple UEs over an air interface, each experiencing varying rates of RF condition changes. The base station monitors and evaluates the rate of change of RF conditions for each UE. If a UE's RF conditions change slowly (below a predefined threshold), the base station applies MU-MIMO to that UE. Conversely, UEs with rapidly changing RF conditions are excluded from MU-MIMO to avoid performance degradation. This selective application ensures MU-MIMO benefits are maximized while minimizing interference and resource wastage. The method dynamically adapts to RF condition fluctuations, improving overall system efficiency and user experience.
9. The method of claim 8 , further comprising determining respectively for each UE of the plurality the rate of change of RF conditions of the UE.
This invention relates to wireless communication systems, specifically methods for managing radio frequency (RF) conditions in networks with multiple user equipment (UE) devices. The problem addressed is the need to dynamically adjust communication parameters based on varying RF conditions to optimize performance and resource allocation. The method involves monitoring RF conditions for each UE in a network, such as signal strength, interference levels, or channel quality. For each UE, the rate of change of these RF conditions is determined, indicating how quickly the conditions are improving or deteriorating. This rate of change is used to prioritize UEs for resource allocation, such as bandwidth or transmission power, ensuring that devices experiencing rapid changes in RF conditions receive timely adjustments. The method may also involve adjusting transmission parameters, such as modulation schemes or coding rates, based on the determined rate of change to maintain stable communication links. Additionally, the method may include predicting future RF conditions for each UE based on the rate of change, allowing proactive adjustments before degradation occurs. This predictive approach helps minimize disruptions and improves overall network efficiency. The system may also classify UEs into different priority groups based on their RF condition dynamics, enabling more granular control over resource distribution. The goal is to enhance network reliability and user experience by dynamically adapting to real-time RF fluctuations.
10. The method of claim 9 , wherein determining the rate of change of RF conditions of the UE is based on one or more metrics selected from the group consisting of channel quality indicator, reference signal receive power, reference signal receive quality, block error rate, and retransmission rate.
This invention relates to wireless communication systems, specifically to methods for assessing radio frequency (RF) conditions of a user equipment (UE) device. The problem addressed is the need for accurate and dynamic evaluation of RF conditions to optimize network performance and resource allocation. The method involves determining the rate of change of RF conditions for a UE by analyzing one or more key metrics. These metrics include channel quality indicator (CQI), reference signal receive power (RSRP), reference signal receive quality (RSRQ), block error rate (BLER), and retransmission rate. By monitoring these metrics, the system can assess how quickly RF conditions are deteriorating or improving, enabling adaptive adjustments to transmission parameters, handover decisions, or other network optimizations. The method ensures that the UE's communication quality is maintained efficiently, reducing unnecessary signaling and improving overall network reliability. The approach leverages existing measurement reports from the UE, minimizing additional computational overhead while providing real-time insights into RF condition dynamics. This solution is particularly useful in environments with rapidly varying RF conditions, such as high-mobility scenarios or dense network deployments.
11. The method of claim 8 , wherein limiting by the base station application of MU-MIMO to UEs of the plurality whose rate of change of RF conditions the base station determined to be threshold low comprises: selecting by the base station at least a first UE of the plurality to receive MU-MIMO service, wherein the selecting is based at least on the rate of change of RF conditions of the first UE being at least as low as a predefined threshold level; and rejecting by the base station application of MU-MIMO service for at least a second UE of the plurality, wherein the rejecting is based at least on the rate of change of RF conditions of the second UE not being at least as low as the predefined threshold level.
This invention relates to wireless communication systems, specifically improving the efficiency of Multi-User Multiple Input Multiple Output (MU-MIMO) service in cellular networks. The problem addressed is the inefficiency of applying MU-MIMO to user equipment (UE) experiencing rapidly changing radio frequency (RF) conditions, which can degrade performance and waste resources. The method involves a base station dynamically selecting UEs for MU-MIMO service based on the stability of their RF conditions. The base station monitors the rate of change of RF conditions for each UE in a group. If a UE's rate of change is below a predefined threshold (indicating stable conditions), the base station includes it in the MU-MIMO group. Conversely, if a UE's rate of change exceeds the threshold (indicating unstable conditions), the base station excludes it from MU-MIMO service. This selective application ensures that only UEs with sufficiently stable RF conditions benefit from MU-MIMO, improving overall system efficiency and performance. The predefined threshold level is a configurable parameter that determines the acceptable rate of change for MU-MIMO eligibility. The base station continuously evaluates RF conditions to dynamically adjust the MU-MIMO group, optimizing resource allocation and reducing interference. This approach enhances spectral efficiency and user experience in wireless networks.
12. The method of claim 8 , further comprising grouping by the base station UEs of the plurality into a MU-MIMO group based on a determination that the UEs of the MU-MIMO group are orthogonal to each other.
This invention relates to wireless communication systems, specifically improving multi-user multiple-input multiple-output (MU-MIMO) transmission efficiency. The problem addressed is optimizing UE (user equipment) grouping to enhance data throughput and reduce interference in MU-MIMO scenarios. The method involves selecting a plurality of UEs for communication with a base station. Each UE is evaluated for channel state information (CSI) to determine its suitability for MU-MIMO transmission. The method further includes grouping the UEs into a MU-MIMO group based on a determination that the UEs in the group are orthogonal to each other. Orthogonality ensures minimal interference between UEs, allowing simultaneous data transmission without significant signal degradation. The grouping process may involve analyzing channel characteristics, such as spatial separation or signal correlation, to identify UEs with orthogonal channels. This optimization improves spectral efficiency and overall network performance by enabling efficient multi-user communication. The method may also include adjusting transmission parameters, such as beamforming or power allocation, to further enhance MU-MIMO performance.
13. A base station operable in a wireless communication system to control transmission over an air interface, the base station comprising: an antenna array comprising a plurality of antennas for communicating over the air interface, wherein the air interface defines physical channel resources for carrying data wirelessly from the base station to a plurality of user equipment devices (UEs) served by the base station, wherein each UE of the plurality has a respective rate of change of radio frequency (RF) conditions; and a controller for scheduling use of the physical channel resources to carry data wirelessly from the base station to the UEs, wherein the controller is configured to select at least one of the UEs of the plurality to serve with Multi-User Multiple-Input-Multiple-Output (MU-MIMO) over the air interface, the selecting being based at least on the rate of change of RF conditions respectively of each selected UE, and wherein the controller is further configured, based on the selecting, to cause the base station to provide MU-MIMO service to each selected UE while the base station serves each other UE of the plurality of UEs without use of MU-MIMO.
This invention relates to wireless communication systems, specifically improving data transmission efficiency in base stations using Multi-User Multiple-Input-Multiple-Output (MU-MIMO) technology. The problem addressed is optimizing resource allocation in dynamic RF environments where user equipment (UE) devices experience varying rates of RF condition changes, such as signal strength fluctuations or interference. The base station includes an antenna array with multiple antennas for wireless communication over an air interface, which defines physical channel resources for data transmission to multiple UEs. A controller schedules these resources, selecting UEs for MU-MIMO service based on their respective RF condition change rates. UEs with stable RF conditions are prioritized for MU-MIMO, which allows simultaneous data transmission to multiple UEs using the same time-frequency resources, increasing spectral efficiency. Meanwhile, other UEs are served without MU-MIMO, ensuring stable communication for those with rapidly changing RF conditions. The controller dynamically adjusts MU-MIMO assignments based on real-time RF condition assessments, balancing throughput and reliability. This approach enhances overall system performance by maximizing MU-MIMO benefits for suitable UEs while maintaining service quality for others. The invention is particularly useful in environments with mixed RF conditions, such as urban areas with varying obstructions or mobile users experiencing rapid movement.
14. The base station of claim 13 , wherein the controller comprises a processing unit, data storage, and program instructions stored in the data storage and executable by the processing unit to carry out the selecting and the causing.
A base station for wireless communication systems includes a controller that dynamically selects a communication protocol for transmitting data to a user device based on the device's capabilities and network conditions. The controller comprises a processing unit, data storage, and program instructions stored in the data storage. The program instructions, when executed by the processing unit, enable the controller to select an appropriate communication protocol and cause the base station to transmit data to the user device using the selected protocol. The selection process considers factors such as the user device's supported protocols, current network load, and signal quality to optimize communication efficiency and reliability. This adaptive protocol selection ensures that the base station can efficiently serve diverse user devices with varying capabilities while maintaining high performance under different network conditions. The system improves overall network efficiency by dynamically adjusting communication parameters in real-time, reducing latency and enhancing data throughput.
15. The base station of claim 13 , wherein the controller is further configured to determine respectively for each UE the plurality the rate of change of RF conditions of the UE.
This invention relates to wireless communication systems, specifically improving base station management of radio frequency (RF) conditions for user equipment (UE) devices. The problem addressed is efficiently monitoring and adapting to dynamic RF conditions to optimize network performance. The base station includes a controller that tracks RF conditions for multiple UEs. For each UE, the controller calculates the rate of change of RF conditions, which may include signal strength, interference levels, or channel quality indicators. This rate of change is used to dynamically adjust communication parameters, such as transmission power, modulation schemes, or scheduling priorities, to maintain reliable connectivity. The controller also manages handover decisions by evaluating RF condition changes across neighboring cells. If a UE's RF conditions deteriorate rapidly, the base station may initiate an early handover to a neighboring cell with more stable conditions. Conversely, if conditions improve, the base station may delay handover to reduce unnecessary signaling overhead. Additionally, the controller prioritizes UEs with rapidly changing RF conditions for more frequent resource allocation updates, ensuring adaptive adjustments to maintain service quality. The system enhances network efficiency by proactively responding to RF fluctuations rather than relying on static thresholds or periodic updates. This approach reduces call drops, improves throughput, and optimizes spectrum utilization in dynamic environments.
16. The base station of claim 15 , wherein determining the rate of change of RF conditions of the UE is based on one or more metrics selected from the group consisting of channel quality indicator, reference signal receive power, reference signal receive quality, block error rate, and retransmission rate.
This invention relates to wireless communication systems, specifically to a base station configured to optimize communication with a user equipment (UE) by dynamically adjusting transmission parameters based on the rate of change of radio frequency (RF) conditions. The problem addressed is the need for efficient and adaptive communication in varying RF environments to maintain reliable connectivity and performance. The base station monitors RF conditions of the UE using one or more metrics, including channel quality indicator (CQI), reference signal receive power (RSRP), reference signal receive quality (RSRQ), block error rate (BLER), and retransmission rate. These metrics provide insights into signal quality, interference levels, and transmission reliability. By analyzing the rate of change of these metrics, the base station can assess how quickly the RF conditions are deteriorating or improving. This allows the base station to proactively adjust transmission parameters, such as modulation and coding schemes, power levels, or scheduling decisions, to mitigate performance degradation or capitalize on favorable conditions. The dynamic adaptation ensures efficient resource utilization and enhances user experience in fluctuating RF environments.
17. The base station of claim 13 , wherein selecting at least one of the UEs of the plurality to serve with MU-MIMO over the air interface with the selecting being based at least on the rate of change of RF conditions respectively of each selected UE comprises, for each UE of the plurality: making a determination of whether the rate of change of RF conditions of the UE is lower than a predefined threshold level; if the determination is that the rate of change of RF conditions of the UE is lower than the predefined threshold level, then, based at least on the determination, selecting the UE to serve with MU-MIMO over the air interface; and if the determination is that the rate of change of RF conditions of the UE is not lower than the predefined threshold level, then, based at least on the determination, not selecting the UE to serve with MU-MIMO over the air interface.
In wireless communication systems, multi-user multiple-input multiple-output (MU-MIMO) techniques improve spectral efficiency by simultaneously serving multiple user equipment (UE) devices. However, RF conditions for UEs can vary dynamically due to mobility, interference, or environmental factors, which can degrade MU-MIMO performance if applied to UEs with rapidly changing RF conditions. This invention addresses the challenge of selecting UEs for MU-MIMO service based on the stability of their RF conditions to enhance communication reliability and efficiency. The invention involves a base station that evaluates the rate of change of RF conditions for each UE in a group. For each UE, the base station determines whether the rate of change of its RF conditions is below a predefined threshold. If the rate of change is below the threshold, indicating stable RF conditions, the UE is selected for MU-MIMO service. If the rate of change is not below the threshold, the UE is excluded from MU-MIMO service. This selection process ensures that only UEs with sufficiently stable RF conditions are served with MU-MIMO, improving the overall performance and reliability of the communication system. The predefined threshold can be adjusted based on system requirements or environmental factors to optimize MU-MIMO operation.
18. The base station of claim 13 , wherein selecting at least one of the UEs of the plurality to serve with MU-MIMO over the air interface with the selecting being based at least on the rate of change of RF conditions respectively of each selected UE comprises: comparing the rate of change of RF conditions of a first one of the UEs of the plurality with the rate of change of RF conditions of a second one of the UEs of the plurality; based on the comparing, determining that the rate of change of RF conditions of the first UE is lower than the rate of change of RF conditions of the second UE; and based on the determining, selecting the first UE rather than the second UE to receive MU-MIMO service over the air interface.
In wireless communication systems, multi-user multiple-input multiple-output (MU-MIMO) technology enhances spectral efficiency by simultaneously serving multiple user equipment (UE) devices over the same frequency resources. However, RF conditions for UEs can vary dynamically due to factors like mobility, interference, or environmental changes. Rapidly changing RF conditions can degrade MU-MIMO performance, as the system relies on stable channel state information for effective beamforming and spatial multiplexing. This invention addresses the challenge of selecting UEs for MU-MIMO service based on the stability of their RF conditions. A base station monitors the rate of change of RF conditions for multiple UEs and prioritizes those with lower variability. Specifically, the base station compares the rate of change of RF conditions between at least two UEs. If one UE exhibits a lower rate of change (i.e., more stable RF conditions) than another, the base station selects the more stable UE for MU-MIMO service. This selection process ensures that the chosen UEs provide more reliable channel state information, improving MU-MIMO efficiency and reducing the likelihood of performance degradation due to rapid RF fluctuations. The method dynamically adapts to varying RF conditions, optimizing resource allocation and overall system throughput.
19. The base station of claim 13 , wherein the controller is further configured to include each selected UE in a MU-MIMO group of UEs based on a further determination that the selected UE is orthogonal to each other UE of the MU-MIMO group.
This invention relates to wireless communication systems, specifically improving multi-user multiple-input multiple-output (MU-MIMO) operations in base stations. The problem addressed is efficiently grouping user equipment (UE) devices in MU-MIMO transmissions to maximize spatial multiplexing gains while minimizing interference. The base station includes a controller that selects UEs for MU-MIMO transmission based on their channel state information (CSI). The controller further evaluates the orthogonality of each selected UE with other UEs in the group. Only UEs that are orthogonal to every other UE in the group are included, ensuring minimal interference and optimal spatial separation. This orthogonality check is performed dynamically, allowing the base station to adapt to changing channel conditions and UE mobility. The controller also manages beamforming weights for each UE in the group, ensuring that the transmitted signals are spatially separated. The system may also prioritize UEs based on factors like channel quality, data buffer status, or service requirements. The invention improves spectral efficiency and throughput in MU-MIMO communications by dynamically optimizing UE grouping and beamforming.
20. The base station of claim 13 , wherein the antenna array is a massive-MIMO antenna array.
A base station for wireless communication systems addresses the challenge of improving spectral efficiency and network capacity in high-density environments. The base station includes an antenna array configured to transmit and receive signals, a signal processing unit that processes signals for transmission and reception, and a control unit that manages communication protocols and resource allocation. The antenna array is a massive-MIMO (Multiple-Input Multiple-Output) antenna array, which significantly increases the number of antennas compared to traditional MIMO systems. This allows for simultaneous communication with multiple user devices, enhancing data throughput and reducing interference. The signal processing unit performs beamforming, precoding, and spatial multiplexing to optimize signal transmission and reception, while the control unit dynamically allocates resources to maximize efficiency. The massive-MIMO configuration enables precise spatial focusing of signals, improving coverage and reliability in dense urban or high-traffic areas. The base station may also include adaptive modulation and coding schemes to further enhance performance under varying channel conditions. This design supports advanced wireless communication standards, such as 5G and beyond, by leveraging the high spatial resolution and capacity gains of massive-MIMO technology.
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November 3, 2020
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